zeros(shape, dtype=float, order='C', *, like=None)
Shape of the new array, e.g., (2, 3)
or 2
.
The desired data-type for the array, e.g., numpy.int8
. Default is numpy.float64
.
Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like
supports the __array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
Array of zeros with the given shape, dtype, and order.
Return a new array of given shape and type, filled with zeros.
empty
Return a new uninitialized array.
full
Return a new array of given shape filled with value.
ones
Return a new array setting values to one.
zeros_like
Return an array of zeros with shape and type of input.
>>> np.zeros(5) array([ 0., 0., 0., 0., 0.])
>>> np.zeros((5,), dtype=int) array([0, 0, 0, 0, 0])
>>> np.zeros((2, 1)) array([[ 0.], [ 0.]])
>>> s = (2,2)
... np.zeros(s) array([[ 0., 0.], [ 0., 0.]])
>>> np.zeros((2,), dtype=[('x', 'i4'), ('y', 'i4')]) # custom dtype array([(0, 0), (0, 0)], dtype=[('x', '<i4'), ('y', '<i4')])See :
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